/**
 * IK 中文分词  版本 5.0.1
 * IK Analyzer release 5.0.1
 * 
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 *
 * 源代码由林良益(linliangyi2005@gmail.com)提供
 * 版权声明 2012，乌龙茶工作室
 * provided by Linliangyi and copyright 2012 by Oolong studio
 * 
 * 
 */
package org.wltea.analyzer.sample;

import java.io.StringReader;

import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;
import org.apache.lucene.analysis.tokenattributes.OffsetAttribute;
import org.apache.lucene.analysis.tokenattributes.TypeAttribute;
import org.junit.Test;
import org.wltea.analyzer.lucene.IKAnalyzer;

/**
 * 使用IKAnalyzer进行分词的演示
 *
 */
public class IKAnalzyerDemo {

    @Test
    public void test() throws Exception {
        // 构建IK分词器，使用smart分词模式
        Analyzer analyzer = new IKAnalyzer(true);

        // 获取Lucene的TokenStream对象
        TokenStream ts = analyzer.tokenStream("myfield",
                new StringReader("这是一个中文分词的例子，你可以直接运行它！IKAnalyer can analysis english text too"));
        // 获取词元位置属性
        OffsetAttribute offset = ts.addAttribute(OffsetAttribute.class);
        // 获取词元文本属性
        CharTermAttribute term = ts.addAttribute(CharTermAttribute.class);
        // 获取词元文本属性
        TypeAttribute type = ts.addAttribute(TypeAttribute.class);

        // 重置TokenStream（重置StringReader）
        ts.reset();
        // 迭代获取分词结果
        while (ts.incrementToken()) {
            System.out.println(
                    offset.startOffset() + " - " + offset.endOffset() + " : " + term.toString() + " | " + type.type());
        }
        // 关闭TokenStream（关闭StringReader）
        ts.end(); // Perform end-of-stream operations, e.g. set the final offset.

        // 释放TokenStream的所有资源
        ts.close();
        analyzer.close();
    }

}
